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Six Sigma

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May 1, 2024 Updated May 9, 2025 27 minute read

Six Sigma is a disciplined, data-driven approach and methodology for eliminating defects in any process – from manufacturing and transactional processes to products and services. The fundamental objective of Six Sigma is to implement a measurement-based strategy that focuses on process improvement and variation reduction through the application of Six Sigma improvement projects. This is accomplished through the use of two Six Sigma sub-methodologies: DMAIC (Define, Measure, Analyze, Improve, Control) and DMADV (Define, Measure, Analyze, Design, Verify), which are based on the scientific method.

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Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Six Sigma.
Comprehensive guide to Six Sigma. It covers all aspects of Six Sigma, from the basics to advanced topics. It is suitable for both beginners and experienced Six Sigma practitioners.
Provides a comprehensive overview of Six Sigma. It covers the history, principles, and applications of Six Sigma. It is suitable for both beginners and experienced Six Sigma practitioners.
Provides a practical guide to Six Sigma. It includes a variety of tools and techniques that can be used to improve the quality of processes. It is suitable for both beginners and experienced Six Sigma practitioners.
Provides a practical guide to Six Sigma. It includes a variety of tools and techniques that can be used to improve the quality of processes. It is suitable for both beginners and experienced Six Sigma practitioners.
Provides a practical guide to Six Sigma for small businesses. It includes a variety of tools and techniques that can be used to improve the quality of processes. It is suitable for small business owners and managers who want to learn more about Six Sigma.
Covers the statistical methods that are used in Six Sigma. It is suitable for Six Sigma practitioners who want to learn more about the statistical foundations of Six Sigma.
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